US2006062336A1PendingUtilityA1
Method of channel estimation
Est. expirySep 17, 2024(expired)· nominal 20-yr term from priority
H04L 25/0212H04L 25/0236
32
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Claims
Abstract
A method for channel estimation is provided. Firstly is to estimate channel impulse response (CIR) of training sequence. Next is to generate a soft data by means of an equalizer according to the CIR of the training sequence. Subsequently is to estimate CIRs of data sequences according to the interposed training sequence by correlation channel estimation. Next is to define a weight by means of auto-correlation of the estimated data sequence and then to cancel the interference of channel by the weight. Finally is to use the soft data and the non-interference CIR to find out the data stored in the data sequence.
Claims
exact text as granted — not AI-modified1 . A method of channel estimation in a receiver for receiving signals to estimate channel impulse response (CIR) of received signal, the receiver comprised a equalizer to decode data within the signal, the signal comprised a plurality of data bursts, any of the data burst having two data sequences (DSs) and a training sequence (TS) interposed between the two DSs, the channel estimation method comprises the steps of:
(a) estimating CIR of the TS; (b) generating a soft data by means of said equalizer according to the CIR of the TS; (c) estimating CIRs of the DSs which are adjacent to the TS by correlation channel estimation; (d) defining a weight according to auto-correlation of the DS; (e) using the weight to cancel interference of channel and obtaining a interference free CIR; and (f) utilizing the soft data and the interference free CIR to obtain data in the data sequence.
2 . The channel estimation method according to claim 1 , wherein the step (c) is calculated by the following equation:
h
~
n
(
k
)
=
∑
l
=
0
L
-
1
c
n
,
l
(
k
)
h
l
(
k
)
+
n
n
(
k
)
,
where c n,l (k) denotes correlation of received data and estimated data at time k, h l (k) denotes real channel impulse response (CIR), and n n (k) denotes noise.
3 . The channel estimation method according to claim 1 , wherein the step (d) is calculated by the following equation:
w
i
,
j
(
k
)
=
c
_
i
,
j
(
k
)
ρ
i
ρ
i
+
σ
~
i
,
where {overscore (c)} i,j (k) denotes auto-correlation of estimated data, ρ i denotes magnitude of channel power at ith delay path, and {tilde over (σ)} i denotes magnitude of noise power at ith delay path.
4 . The channel estimation method according to claim 1 , wherein the interference free CIR({overscore (h)} i (k)) is calculated by the following equation:
h
_
i
(
k
)
=
h
~
i
(
k
)
-
∑
j
=
0
L
-
1
j
≠
i
w
i
,
j
(
k
)
h
~
j
(
k
)
.
5 . The channel estimation method according to claim 1 , wherein the data sequence in the data burst contains 58 bits data.
6 . The channel estimation method according to claim 1 , wherein the training sequence in the data burst contains 26 bits data.
7 . The channel estimation method according to claim 1 , wherein the channel estimation method is applied in GPRS system.
8 . The channel estimation method according to claim 1 , wherein the channel estimation method is applied in GSM system.
9 . The channel estimation method according to claim 1 , wherein data in the data burst belongs to audio data.
10 . The channel estimation method according to claim 1 , wherein data in the data burst belongs to video data.
11 . The channel estimation method according to claim 1 , wherein data in the data burst belongs to audio and video data.
12 . A method of channel estimation in a receiver for receiving signals to estimate channel impulse response (CIR) of received signal, the receiver comprised a equalizer so as to decode data within the signal, the signal comprised a plurality of data burst, any of the data burst comprises two data sequences (DSs) and a training sequence (TS) interposed between the two DSs, the channel estimation method comprises the steps of:
(a) estimating CIRs of the DSs which are adjacent to the TS by correlation channel estimation; (b) defining a weight according to auto-correlation of the DS; and (c) using the weight to cancel interference of channel and obtaining a interference free CIR.
13 . The channel estimation method according to claim 12 , further comprising:
(d) estimating CIR of the TS; (e) generating a soft data by means of said equalizer according to the CIR of the TS; and (f) utilizing the soft data and the interference free CIR to obtain data in the data sequence.
14 . The channel estimation method according to claim 12 , wherein the step (a) is calculated by the following equation:
h
~
n
(
k
)
=
∑
l
=
0
L
-
1
c
n
,
l
(
k
)
h
l
(
k
)
+
n
n
(
k
)
,
where c n,l (k) denotes correlation of received data and estimated data at time k, h l (k) denotes real channel impulse response (CIR), and n n (k) denotes noise.
15 . The channel estimation method according to claim 12 , wherein the step (b) is calculated by the following equation:
w
i
,
j
(
k
)
=
c
_
i
,
j
(
k
)
ρ
i
ρ
i
+
σ
~
i
,
where {overscore (c)} i,j (k) denotes auto-correlation of estimated data, ρ i denotes magnitude of channel power at ith delay path, and {tilde over (σ)} i denotes magnitude of noise power at ith delay path.
16 . The channel estimation method according to claim 12 , wherein the interference free CIR ({overscore (h)} i (k)) is calculated by the following equation:
h
_
i
(
k
)
=
h
~
i
(
k
)
-
∑
j
=
0
L
-
1
j
≠
i
w
i
,
j
(
k
)
h
~
j
(
k
)
.
17 . The channel estimation method according to claim 12 , wherein the data sequence in the data burst contains 58 bits data.
18 . The channel estimation method according to claim 1 , wherein the training sequence in the data burst contains 26 bits data.
19 . The channel estimation method according to claim 12 , wherein the channel estimation method is applied in GPRS or GSM system.
20 . The channel estimation method according to claim 12 , wherein data in the data burst is selected from the group consisting of audio, video, or audio and video data.Join the waitlist — get patent alerts
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